DocumentCode
3177745
Title
Synthesis of silver nanoparticles by soft chemical method: Effect of reducing agent concentration
Author
Ajitha, B. ; Divya, A. ; Siva Kumar, K. ; Sreedhara Reddy, P.
Author_Institution
Dept. of Phys., Sri Venkateswara Univ., Tirupati, India
fYear
2013
fDate
24-26 July 2013
Firstpage
7
Lastpage
10
Abstract
Silver nanoparticles have successfully synthesized by using tri-sodium citrate as reducing agent and Polyvinyl alcohol (PVA) as capping agent and demonstrated the effect of reducing agent concentration on size variation. Broadened XRD peaks confirmed the formation of nanosized silver nanoparticles with face centred cubic structure and is consistent with FESEM studies. Further XRD results confirmed the decrease of mean particle size with increase of reducing agent concentration. FESEM images illustrate the formation of spherical silver nanoparticles in nanometre regime. EDAX analysis confirms the presence of elemental silver indicating that silver peak is correctly identified ensuring the absence of impurities in the prepared nanoparticles. UV-Visible absorption studies revealed the blue shift of surface Plasmon resonance (SPR) band owing to decrease of particle size with increase of reducing agent concentration.
Keywords
X-ray chemical analysis; X-ray diffraction; field emission electron microscopy; nanofabrication; nanoparticles; particle size; scanning electron microscopy; silver; ultraviolet spectra; visible spectra; Ag; EDAX analysis; FESEM; SPR; UV-visible absorption spectra; XRD; elemental silver; face centred cubic structure; particle size; plasmon resonance; polyvinyl alcohol; silver nanoparticles; soft chemical method; trisodium citrate; Silver; Surface morphology; Surface waves; X-ray imaging; X-ray scattering; Polyvinyl alcohol; Silver nanoparticles; Surface plasmon resonance; X-ray diffraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Nanomaterials and Emerging Engineering Technologies (ICANMEET), 2013 International Conference on
Conference_Location
Chennai
Print_ISBN
978-1-4799-1377-0
Type
conf
DOI
10.1109/ICANMEET.2013.6609220
Filename
6609220
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